Biomolecular Engineering Department, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W218-24. doi: 10.1093/nar/gkt473. Epub 2013 Jun 8.
High-throughput data sets such as genome-wide protein-protein interactions, protein-DNA interactions and gene expression data have been published for several model systems, especially for human cancer samples. The University of California, Santa Cruz (UCSC) Interaction Browser (http://sysbio.soe.ucsc.edu/nets) is an online tool for biologists to view high-throughput data sets simultaneously for the analysis of functional relationships between biological entities. Users can access several public interaction networks and functional genomics data sets through the portal as well as upload their own networks and data sets for analysis. Users can navigate through correlative relationships for focused sets of genes belonging to biological pathways using a standard web browser. Using a new visual modality called the CircleMap, multiple 'omics' data sets can be viewed simultaneously within the context of curated, predicted, directed and undirected regulatory interactions. The Interaction Browser provides an integrative viewing of biological networks based on the consensus of many observations about genes and their products, which may provide new insights about normal and disease processes not obvious from any isolated data set.
高通量数据集，如全基因组蛋白质-蛋白质相互作用、蛋白质-DNA 相互作用和基因表达数据，已经在几个模型系统中发布，特别是在人类癌症样本中。加州大学圣克鲁兹分校（UCSC）交互浏览器（http://sysbio.soe.ucsc.edu/nets）是一个在线工具，供生物学家同时查看高通量数据集，以分析生物实体之间的功能关系。用户可以通过门户访问几个公共交互网络和功能基因组数据集，也可以上传自己的网络和数据集进行分析。用户可以使用标准网络浏览器浏览特定生物途径中相关基因的关联关系。使用一种称为“CircleMap”的新视觉模式，可以在经过策展、预测、有向和无向调控相互作用的背景下同时查看多个“组学”数据集。交互浏览器基于对基因及其产物的许多观察结果的共识，提供了对生物网络的综合观察，这可能为正常和疾病过程提供新的见解，而这些见解从任何孤立的数据集都不明显。
